OrgX MCP - Agent Orchestration
Agent orchestration + org memory via MCP. Manage initiatives and decisions from any client.
mem
Search and manage project memory (observations, sessions, prompts)
Agent Memory Management
Memory system with automatic decay, tiered search, and creative recall. Works with any directory of markdown files.
mex-inbox
Prepare and manage governed MEX Inbox proposals for durable Spec-family knowledge. Use when the user clearly asks to capture, create, save, or draft a MEX product Spec, requirement, constraint, acceptance criterion, or durable product-spec decision for team review, or explicitly invokes /mex-inbox or $mex-inbox. Do not use for email inboxes, generic notes, vague brainstorming, OpenAPI or test specs mentioned only by the word "spec," architecture pages, conventions, patterns, Workstreams, Relays, arbitrary Wiki pages, or generic memory.
Elephant â Manual Memory Commands
Manage the elephant memory system. Local file: `.elephant/memory.md`. Global file: `~/.claude/elephant/memory.md`.
unraid
This skill should be used when the user mentions Unraid, asks to check server health, monitor array or disk status, list or restart Docker containers, start or stop VMs, read system logs, check parity status, view notifications, manage API keys, configure rclone remotes, check UPS or power status, get live CPU or memory data, force stop a VM, check disk temperatures, or perform any operation on an Unraid NAS server. Also use when the user needs to set up or configure Unraid MCP credentials.
aws-agentic-ai
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
memory-manage
Manage agent memory stored as files. Record, recall, search, update, and analyze memory content. Supports exploratory analysis for building context before complex tasks.
Io.Github.Basicmachines Co/Basic Memory
Local-first knowledge management with bi-directional LLM sync via Markdown files.
mind
Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
beads
Dolt-powered issue tracker for multi-session work with dependencies and persistent memory across conversation compaction. Use when work spans sessions, has blockers, or needs context recovery after compaction. Trigger with "create task", "what's ready", "track this work", "resume after compaction". Make sure to use this skill whenever managing multi-session work, tracking dependencies, or recovering context.
neuron-agent-builder
Create and configure Neuron AI agents with providers, tools, instructions, and memory. Use this skill whenever the user mentions building agents, creating AI assistants, setting up LLM-powered chat bots, configuring chat agents, or wants to create an agent that can talk, use tools, or handle conversations. Also trigger for any task involving agent configuration, provider setup, tool integration, or chat history management in Neuron AI.
Memory Mcp
MCP server for AI memory management using Letta - Standard MCP format
Io.Github.Ashish Nativ/Nativ
AI-powered localization — translate, manage translation memory, and access style guides.
Io.Github.Annibale X/Mcp Memento
An MCP server that provides persistent memory and context management across sessions
claude-memory-kit
Persistent memory system for Claude Code. Your agent remembers everything across sessions and projects. Two-layer architecture: hot cache (MEMORY.md) + knowledge wiki. Safety hooks prevent context loss. /close-day captures your day in one command. Zero external dependencies, runs on existing subscription.
cas
Coding Agent System - unified memory, tasks, rules, and skills. Use when you need to remember something, track work, search past context, or manage tasks. (project)
shelfai
Use this skill when the user wants to manage AI agent knowledge, organize agent configurations, or set up post-session learning systems. Triggers include: organizing agent skills or knowledge into a structured shelf, extracting insights from conversation transcripts, splitting monolithic agent config files into modular pieces, managing memory files, searching indexed knowledge, or diagnosing shelf health. Use ShelfAI whenever a user mentions managing agent context, chunking configs, learning from sessions, compacting memory, or organizing reusable agent knowledge pieces.
codebase-analyzer
This skill should be used when the user asks to "initialize auto-memory", "create CLAUDE.md", "set up project memory", or runs the /auto-memory:init command. Analyzes codebase structure and generates CLAUDE.md files using the exact template format with AUTO-MANAGED markers.
memora
Persistent memory and knowledge management. Use at session start to load context, when the user asks about past work or stored knowledge, and when saving important information for future sessions.